MIT MicroMasters® Program in Statistics and Data Science

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Do this course if you need a more solid understanding of statistics, probability and maths behind Data Science.

Specification: MIT MicroMasters® Program in Statistics and Data Science

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1. Probability – Build foundational knowledge of data science with this introduction to probabilistic models.
2. Data Analysis in Social Science – Learn the methods for harnessing and analyzing data.
3. Fundamentals of Statistics – Develop a deep understanding of estimation, hypothesis testing and prediction.
4. Machine Learning with Python – An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.
5. Capstone Exam – Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment.

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4 reviews for MIT MicroMasters® Program in Statistics and Data Science

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  1. Aram Butavyan

    Got certified from MITx on Statistics and Data Science MicroMasters program, which includes:

    Four graduate level courses on Statistics, Probability, Data Analysis and Machine Learning delivered by MIT professors.
    It took more than 600 hours of study in both theory and practice using R and Python.
    4 proctored exams at the end of one year journey.

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  2. Jovan Djelic

    Proud to be a part of the pioneering generation of students in MIT’s Statistics and Data Science Micromasters program and a holder of the certificate!

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  3. Dimitris Papadopoulos

    I tend not to post about online certifications, but in this case, I’ll make an exemption:
    A 15-month journey reached its end, providing high-level, condensed knowledge, not to be outdone by traditional education. After countless sleepless nights solving PSETs, dozens of exams and hundreds of homework pages, ~60 of us finally made it.
    I wholeheartedly recommend the MITx on edX MicroMasters in Statistics and Data Science for anyone wanting to transition to the analytics domain and prefers a rigorous way to delve into the fundamentals of this wonderful mathematical world. Kudos to all program organisers, TAs and fellow learners that shared plenty of their time and effort, leading to this wholesome experience.

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  4. David Barrero

    I am excited to share I have been granted a #scholarship by @MITx on edX to start a @MicroMaster Programs in Statistics and Data Science at Massachusetts Institute of Technology and developed by MIT Institute for Data, Systems, and Society (IDSS). The courses cover four pillars: #probability, #statistics, #machinelearning and #dataanalysis. They are at the same level of rigor as the residential versions at MIT. It is composed of more than 1200 challenging problems, including hands-on projects. So far, I have accomplished the first unit of Probability with a ∼80% success score. I am sure it will be worth it to strengthen my data science skills as well as commitment and resiliency. The program certificate can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS). #datascience #artificialintelligence #dataanalytics #ai #MIT # #data

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    Expert Score 9.5
    Course Content
    9
    Learning Experience
    9.5
    Course Price
    8
    Credibility
    10
    Flexibility
    8.5
    PROS:
    • Learners who successfully earn the MITx MicroMasters program certificate are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree.
    CONS:
    • Theoretical, with much more probability & mathematical statistics rather than coding.
    MIT MicroMasters® Program in Statistics and Data Science
    MIT MicroMasters® Program in Statistics and Data Science
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